Research on Traffic Scene Element Recognition for Autonomous Driving Based on Deep Learning

This paper introduces the overall research status in the field of autonomous driving, followed by an overview of the research status of multi-lane line recognition algorithms, 3D object detection algorithms, and multi-target tracking algorithms in autonomous driving. However, the road scene in the real environment is complex and changeable, and there is still room for improvement in the real-time performance and accuracy of existing traffic sign detection and recognition methods.

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Publication Details

Journal
Highlights in Science Engineering and Technology
Published
2024-11-23
DOI
https://doi.org/10.54097/jfsm0w96
Primary Topic
Vehicle License Plate Recognition
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on Traffic Scene Element Recognition for Autonomous Driving Based on Deep Learning

Yi Zhang
Highlights in Science Engineering and Technology
Vehicle License Plate Recognition
article

Research on Traffic Scene Element Recognition for Autonomous Driving Based on Deep Learning

Yi Zhang
article en

Abstract

This paper introduces the overall research status in the field of autonomous driving, followed by an overview of the research status of multi-lane line recognition algorithms, 3D object detection algorithms, and multi-target tracking algorithms in autonomous driving. However, the road scene in the real environment is complex and changeable, and there is still room for improvement in the real-time performance and accuracy of existing traffic sign detection and recognition methods.

Highlights in Science Engineering and TechnologyVol. 118
Openalex Percentile: Top 68%
Vehicle License Plate Recognition
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Research on Traffic Scene Element Recognition for Autonomous Driving Based on Deep Learning — Yi Zhang · Highlights in Science Engineering and Technology (2024) | TGRS Research Map | TGRS